Juliane Kloidt

About me

I completed my PhD in Computer Science and Psychology at the UKRI Centre for Doctoral Training in Socially Intelligent Artificial Agents, based at the University of Glasgow. My PhD thesis on “Thriving under challenges – establishing individual and situational influences on eustress” was supervised by Prof. Lawrence Barsalou.

My additional professional experiences include:

I work as an independent consultant with Dr. Sandra Geiger, at Princeton University on forecasting the effectiveness of social norm interventions on the support of climate change policies with large language models.

I also work as a research assistant with Prof. Tim Kaiser at the University of Kaiserslautern-Landau (RPTU) on establishing effects of behaviour change interventions (health, sustainability, and household finance), synthesising effects of capital vs training interventions on business outcomes, and investigating time preferences.

I enjoyed teaching research methods, coding in R, and psychology classes, for the School of Psychology and Neuroscience (University of Glasgow), for instance at the Widening Participation Summer School.

Interests

Data science | Generative AI | Stress & Well-being | Behavioural Science | Financial Literacy

Technical Skills

AI & Large Language Models: Generative AI Architecture, Prompt Engineering, Hugging Face (Transformers, Datasets, Evaluate), Open-source LLMs (Llama-4, Llama-3), OpenAI API, Model Evaluation (Bias, Error, Semantic Alignment).

Data Engineering & Technologies: Python (NumPy, Pandas, Scikit-learn, SciPy), SQL, R (tidyverse, shiny), Automated Data Pipelines, Data Governance, Version Control (Git/GitHub).

Statistical Modelling & Analytics: Bayesian & Frequentist Inference, Regression, Unsupervised Clustering, Factor Analysis, Meta-Analysis, Experimental Design, A/B Testing, Simulation.

Software & Delivery: Agile Methodologies, Requirements Gathering, KPI Definition, Technical Solution Design, Prototype Development.